Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The latest News and Information on Data Security including privacy, protection, and encryption.

Data Loss Prevention: Learn Types, Challenges, and Tips to Secure Your Data

Data loss prevention is a security solution to detect and prevent sensitive data utilization. A data loss prevention strategy is necessary for organizations wishing to avoid data breaches and destruction. Even if an organization has a solid data loss prevention routine in place, it does not eliminate potential threats. The most common causes are: The existence of different data leak prevention types calls for a deep dive into understanding them.

Shift Left: A One-of-a-Kind Developer Community in the Cybersecurity Space

To foster a culture of data protection that enhances global enterprises through secure application development, Protegrity developed the Shift Left Developer community. Our community recognizes the discrepancies and challenges data teams face when it comes to implementing solutions – both technologically and professionally – and offers the resources, guides, and cross-collaboration from teams around the world to help develop effective and efficient approaches to integration processes.

A Comprehensive Guide to Azure Data Security

In our interconnected world, the value of data is growing with cyber threats also on the rise. This causes the security and protection of data to become crucial. Organizations have become compelled to adopt strict measures to safeguard their data. Implementing security practices in data protection and encryption ensures the confidentiality, integrity, and availability of the data stored in the cloud.

Securing Enterprise Data: Data Loss Prevention for Large Language Models (LLMs) like ChatGPT, Bard

We're thrilled to introduce our cutting-edge Data Loss Prevention (DLP) tool designed specifically to protect enterprise data when using Large Language Models (LLMs) like ChatGPT, Bard. Data security in corporate settings is more critical than ever, and with the rise of LLMs, new challenges emerge. Join us as we unveil our innovative DLP solution tailored to the unique demands of LLM-powered applications. Explore how our tool can identify and mitigate data breaches, ensuring your company's sensitive information remains confidential.

Nightfall Named A Leader in Data Loss Prevention (DLP) by G2

Nightfall has been named as a Leader in Data Loss Prevention (DLP), Sensitive Data Discovery, and Data Security in G2’s Fall ‘23 rankings. We’d like to extend a huge thank you to all the customers and supporters who made this possible. This past season, the Nightfall team has been working tirelessly to innovate new ways to keep customers safe in the cloud.

Data Security Today: Threats, Techniques & Solutions

Data security is more important than ever. In 2022 alone, over 1,700 organizations worldwide have been affected by compromised data. With organizations relying heavily on technology to store and process sensitive information, the risk of data breaches is constantly rising. This puts data security at the forefront of any organization’s security plan.

Data Governance in 2023:Definition & Best Practices

The world is becoming more reliant on data through data analytics and AI, where a lack of data quality can cost 74% more time spent on non-value added tasks by employees. This makes proper data governance more crucial than ever. As organizations become data-driven and interact with more data than ever, understanding the ins and outs of data governance is essential for ensuring data quality, security, and regulatory compliance.

Data Loss Prevention (DLP): Definition, Components & Types

The importance of data security cannot be overstated. Data Loss Prevention (DLP) has emerged as a crucial component in safeguarding sensitive information and ensuring compliance with ever-evolving regulations. In this blog post, we'll share everything to know about DLP, exploring its definition, key components, types of solutions, importance, best practices, tools, and common challenges.